Secret Sharing Schemes with Hidden Sets

Rick Lopes de Souza, M. Vigil, Ricardo Felipe Custódio, Florian Caullery, Lucia Moura, D. Panario
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引用次数: 3

Abstract

Shamir’s Secret Sharing Scheme is well established and widely used. It allows a so-called Dealer to split and share a secret k among n Participants such that at least t shares are needed to reconstruct k, where $0\lt/p\gt\lt t \le n$. Nothing about the secret can belearned from less than t shares. To split secret k, the Dealer generates a polynomial f,whose independent term is k and the coefficients are randomly selected using a uniform distribution. A share is a pair $( x,f(x))$ where x is also chosen randomly using a uniform distribution. This scheme is useful, for example, to distribute cryptographic keys among different cloud providers and to create multi-factor authentication. The security of Shamir’s Secret Sharing Scheme is usually analyzed using a threat model where the Dealer is trusted to split and share secrets as described above. In this paper, we demonstrate that there exists a different threat model where a malicious Dealer can compute shares such that a subset of less than t shares is allowed to reconstruct the secret. We refer to such subsets as hidden sets. We formally define hidden sets and prove lower boundson the number of possible hidden sets for polynomials of degree $t -1.$ Yet, we show how to detect hidden sets given a set of n shares and describe how to create hidden sets while sharing a secret using a modification of Shamir’s scheme.
具有隐藏集的秘密共享方案
Shamir的秘密共享方案已经建立并被广泛使用。它允许一个所谓的交易商在n个参与者之间分割和共享一个秘密k,这样至少需要t份来重建k,其中$0\lt/p\gt\lt t\ le n$。从少于100股的股票中无法得知任何秘密。为了分裂秘密k,交易商生成一个多项式f,其独立项为k,系数采用均匀分布随机选择。份额是一对$(x,f(x))$,其中x也是使用均匀分布随机选择的。该方案非常有用,例如,可以在不同的云提供商之间分发加密密钥,并创建多因素身份验证。Shamir的秘密共享方案的安全性通常使用威胁模型进行分析,其中经销商被信任以分割和共享上述秘密。在本文中,我们证明了存在一种不同的威胁模型,其中恶意经销商可以计算份额,使得少于t个份额的子集被允许重建秘密。我们把这样的子集称为隐藏集。我们形式化地定义了隐集,并证明了次多项式$t -1的可能隐集个数的下界。然而,我们展示了如何在给定n个共享的集合中检测隐藏集,并描述了如何在共享秘密的同时使用Shamir方案的修改创建隐藏集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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